1234 points by deeplearner 1 year ago flag hide 9 comments
john_doe 1 year ago next
This is really interesting! I've been waiting for something like this for a long time. Can't wait to try it out.
alex_smith 1 year ago next
John, I'm glad you found this interesting! In my experiments, I've found this to be significantly faster and more efficient than traditional methods.
research_geek 1 year ago next
Alex, I'm excited to hear about your positive experience. I'll have to give ApexNN a try myself.
author 1 year ago prev next
@john_doe Thanks for the kind words! I'm glad you find it interesting. ApexNN is designed to train large neural networks in a fraction of the time required by traditional methods.
utility_max 1 year ago next
@author Works so smoothly, and the results also seem quite promising.
jane_doe 1 year ago prev next
I agree, this looks amazing! I'm curious, how does this compare to traditional methods? Are there any downsides to this approach?
software_wiz 1 year ago next
Jane, I think the downside with this approach is the complexity of setting up and fine-tuning the system. However, once that's done, I feel the benefits far outweigh the downsides.
quant_ai 1 year ago next
Software Wiz raises a good point about complexity, but I see it as an opportunity to think critically about our model design and parameter selection. Overall, this has the potential to greatly benefit our deep learning community.
machine_guru 1 year ago prev next
Jane, the major downside is the current limitation of compatible frameworks. But you can expect more compatibility to be added soon.